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The theft attacks of web digital identities, e.g., phishing, and pharming, could result in severe loss to users and vendors, and even hold users back from using online services, e-business services, especially. In this paper, we propose an approach, referred to as automated individual white-list (AIWL), to protect user’s web digital identities. AIWL leverages a Naïve Bayesian classifier to automatically...
The authentication based on user's username and password is one of the most popular ways to verify a user when he or she enters an information system. Thus, in recent years, many attackers, e.g. phishers, aim to steal passwords to intrude information systems. To strengthen the password-based authentication, we introduce a method, named SmartID, where we use a Bluetooth-enabled Smart Phone as a platform...
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